Evolutionary game theory provides an efficient mathematical tool to describe the conflicts of interest between individuals or competitors [1]}, [2]}, [3]}. This framework is proved to be extremely useful in broad variety of scientific disciplines. Examples can be given starting from the tiny scale of viruses or bacterias, via plants, animals till human societies [4]}, [5]}, [6]}, [7]}, [8]}. But complex and spatially structured interactions of companies or countries also raise critical problems, like climate change or depletion of natural resources, where the importance of this approach is indisputable [9]}, [10]}, [11]}, [12]}, [13]}, [14]}, [15]}, [16]}, [17]}.
The mentioned conflicts can be described by appropriately chosen elements of a payoff matrix where the utility of a certain strategy depends on the strategy choice of the partner. In the so-called social dilemma games the actors may choose between two conceptually different strategies, called as cooperator and defector states. While the former invests some effort into the common interest the latter does not, but only enjoys the benefit of the other's contribution. Hence it pays individually not to cooperate, but if all actors behave rationally then an undesired end, frequently called as the tragedy of the commons, is inevitable [18]}. Not surprisingly, due to the importance of the problems, we can witness a very intensive research activity in the last decades where scientists try to identify possible mechanisms, escape routes and conditions which promote cooperation and maintain a sustainable state for systems having limited resources [19]}, [20]}, [21]}, [22]}, [23]}, [24]}, [25]}, [26]}, [27]}, [28]}, [29]}, [30]}, [31]}.
